MISO RAG LLM Interface

MISO: Mobility Intelligence for Safety & Operations (RAG LLM)

Duration: 2025-2026 (Ongoing)

Links

MISO is a standards-focused, retrieval-augmented intelligence platform designed to support transportation engineering, traffic operations, safety analysis, and mobility research through structured and explainable querying of authoritative technical documents.

Project Overview

This innovative platform leverages advanced Large Language Model (LLM) technology combined with Retrieval-Augmented Generation (RAG) to provide intelligent access to transportation standards and technical documentation. The system is designed to assist transportation professionals in quickly finding relevant information from complex technical documents.

Key Features

  • Intelligent document retrieval from transportation standards
  • Natural language querying interface
  • Explainable AI responses with source citations
  • Support for traffic operations and safety analysis
  • Integration with authoritative technical documents

Technical Implementation

The platform utilizes state-of-the-art natural language processing techniques to understand user queries and retrieve relevant information from a comprehensive database of transportation standards and technical documents. The RAG architecture ensures that responses are grounded in authoritative sources while maintaining high accuracy and relevance.

Project Timeline

Duration: 2025-2026

Contact

  • Address

    Miner School of Computer & Information Sciences,
    1 University Avenue, Lowell MA 01854
    United States